Publications and Research
Document Type
Poster
Publication Date
12-2023
Abstract
The purpose of this research is to evaluate the progress of cloud computation and generative artificial intelligence, and how the improvements in these respective technologies could be combined for future uses. Cloud computation and generative AI have rapidly developed in their capabilities. By analyzing the ways in which cloud computing and generative AI have been implemented thus far, a better understanding can be established regarding how they may influence current tech solutions within the information technology sector and beyond. The first portion of research consisted of researching the current capabilities of the two technologies respectively. By reviewing relevant publications and academic articles, a timeline can be established which conveys the advancements necessary for these technologies to become more capable. Understanding the fundamentals of what cloud computation is and its practical applications can provide insight into how the rapid advancement of generative AI can potentially influence aspects of cloud computing. Inversely, cloud computing may offer ways to implement generative AI into new solutions and open up the technology to even more use cases. Based on the research, cloud computing may offer new ways to train and enhance generative AI models, potentially accelerating advancements and expansions of said models. Generative AI can also be applied within the cloud, allowing these AI models to utilize the computational resources needed for such intensive processes. Both of these technologies are powerful tools which can influence aspects of each other. Following the research, future studies can assess the future scalability of these technologies, and how these changes may affect current tech solutions.
Comments
This poster was presented at the 39th Semi-Annual Dr. Janet Liou-Mark Honors & Undergraduate Research Poster Presentation, December 7, 2023. Mentor: Prof. Patrick Slattery (Computer Systems Technology).